Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
On the proper role of linguistically-oriented deep net analysis in linguistic theorizing
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2106.08694.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-08T18:29:34.362777Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
8
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation e8db7447-ae67-4959-a12f-133335ed42c8 · inbound
Language Models Largely Exhibit Human-like Constituent Ordering Preferences cites this paper.
Language Models Largely Exhibit Human-like Constituent Ordering Preferences On the proper role of linguistically-oriented deep net analysis in linguistic theorizing
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T18:29:34.362777Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3ef1de9b-2500-441e-a9d4-92fbfca2bfa4 · inbound
Dual Alignment Between Language Model Layers and Human Sentence Processing cites this paper.
Dual Alignment Between Language Model Layers and Human Sentence Processing On the proper role of linguistically-oriented deep net analysis in linguistic theorizing
Reference 295
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T05:25:54.525572Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e9177445-98c4-491c-bec8-a8d653c098e9 · inbound
Why are language models less surprised than humans? Testing the Parse Multiplicity Mismatch Hypothesis cites this paper.
Why are language models less surprised than humans? Testing the Parse Multiplicity Mismatch Hypothesis On the proper role of linguistically-oriented deep net analysis in linguistic theorizing
Reference 264
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T14:52:36.226163Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.